AIMC Topic: Virus Replication
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Single-cell image-based screens identify host regulators of Ebola virus infection dynamics.
Nature microbiology
Jul 24, 2025
Filoviruses such as Ebola virus (EBOV) give rise to frequent epidemics with high case fatality rates while therapeutic options remain limited. Earlier genetic screens aimed to identify potential drug targets for EBOV relied on systems that may not fu...
Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.
Scientific reports
Jul 8, 2025
Collection of systemic tissues from influenza A virus (IAV)-infected ferrets at a fixed timepoint post-inoculation represents a frequent component of risk assessment activities to assess the capacity of IAV to replicate systemically. However, few stu...
Stem loop binding protein promotes SARS-CoV-2 replication via -1 programmed ribosomal frameshifting.
Signal transduction and targeted therapy
Jun 13, 2025
The -1 programmed ribosomal frameshifting (-1 PRF) in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for keeping the balance between pp1a and pp1ab polyproteins. To date, the host factors influencing this process remain poorl...
A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects.
Scientific reports
Feb 18, 2025
Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests. To facilitate this process, we developed an AI-powered automated system called AI Recognition of ...
Respiratory Syncytial Virus Vaccine Design Using Structure-Based Machine-Learning Models.
Viruses
May 22, 2024
When designing live-attenuated respiratory syncytial virus (RSV) vaccine candidates, attenuating mutations can be developed through biologic selection or reverse-genetic manipulation and may include point mutations, codon and gene deletions, and geno...
Potent multi-target natural inhibitors against SARS-CoV-2 from medicinal plants of the Himalaya: a discovery from hybrid machine learning, chemoinformatics, and simulation assisted screening.
Journal of biomolecular structure & dynamics
Sep 21, 2023
The emergence and immune evasion ability of SARS-CoV-2 Omicron strains, mainly BA.5.2 and BF.7 and other variants of concern have raised global apprehensions. With this context, the discovery of multitarget inhibitors may be proven more comprehensive...
Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning.
Nature biomedical engineering
Jun 22, 2023
A plaque assay-the gold-standard method for measuring the concentration of replication-competent lytic virions-requires staining and usually more than 48 h of runtime. Here we show that lens-free holographic imaging and deep learning can be combined ...
Target-Centered Drug Repurposing Predictions of Human Angiotensin-Converting Enzyme 2 (ACE2) and Transmembrane Protease Serine Subtype 2 (TMPRSS2) Interacting Approved Drugs for Coronavirus Disease 2019 (COVID-19) Treatment through a Drug-Target Interaction Deep Learning Model.
Viruses
Nov 18, 2020
Previously, our group predicted commercially available Food and Drug Administration (FDA) approved drugs that can inhibit each step of the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using a deep learning-based drug-ta...
Evolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics.
Biochimica et biophysica acta. Molecular basis of disease
Sep 24, 2020
An epidemic caused by COVID-19 in China turned into pandemic within a short duration affecting countries worldwide. Researchers and companies around the world are working on all the possible strategies to develop a curative or preventive strategy for...
Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected Cells.
Molecules (Basel, Switzerland)
Apr 18, 2020
Drug target prediction is an important method for drug discovery and design, can disclose the potential inhibitory effect of active compounds, and is particularly relevant to many diseases that have the potential to kill, such as dengue, but lack any...
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